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ABSTRACT: Aims
To explore molecular mechanisms that link peri-implantitis and type 2 diabetes mellitus (T2DM) by bioinformatic analysis of publicly available experimental transcriptomic data.Materials and methods
Gene expression data from peri-implantitis were downloaded from the Gene Expression Omnibus database, integrated and differentially expressed genes (DEGs) in peri-implantitis were identified. Next, experimentally validated and computationally predicted genes related to T2DM were downloaded from the DisGeNET database. Protein-protein interaction network (PPI) pairs of DEGs related to peri-implantitis and T2DM related genes were constructed, "hub" genes and overlapping DEG were determined. Functional enrichment analysis was used to identify significant shared biological proces
SUBMITTER: Yu T
PROVIDER: S-EPMC6590641 | biostudies-literature | 2019
REPOSITORIES: biostudies-literature